Pedestrian dead-reckoning algorithms for dual foot-mounted inertial sensors [PDF]
2019 26th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS), 2019 This work proposes algorithms for reconstruction of closed-loop pedestrian trajectories based on two foot-mounted inertial measurement units (IMU). The first proposed algorithm allows calculation of a trajectory using measurements from only one IMU. The second algorithm uses data from both foot-mounted IMUs simultaneously.
Chistiakov, I. A. +2 more
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Pedestrian Stride-Length Estimation Based on LSTM and Denoising Autoencoders
Sensors, 2019 Accurate stride-length estimation is a fundamental component in numerous applications, such as pedestrian dead reckoning, gait analysis, and human activity recognition.
Qu Wang +5 more
doaj +1 more source
Inertial Pocket Navigation System: Unaided 3D Positioning
Sensors, 2015 Inertial navigation systems use dead-reckoning to estimate the pedestrian’s position. There are two types of pedestrian dead-reckoning, the strapdown algorithm and the step-and-heading approach.
Estefania Munoz Diaz
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A Novel Method of Adaptive Kalman Filter for Heading Estimation Based on an Autoregressive Model
Applied Sciences, 2019 With the popularity of smartphones and the development of microelectromechanical system (MEMS), the pedestrian dead reckoning (PDR) algorithm based on the built-in sensors of a smartphone has attracted much research.
Dashuai Chai +2 more
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StepNet—Deep Learning Approaches for Step Length Estimation
IEEE Access, 2020 The case of a user walking with a smartphone in an indoor environment is considered. Instead of using traditional pedestrian dead reckoning approaches to estimate the user step-length, we define a deep learning based framework with an activity ...
Itzik Klein, Omri Asraf
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Pedestrian inertial navigation: An overview of model and data-driven approaches
Results in EngineeringThe task of indoor positioning is fundamental to several applications, including navigation, healthcare, location-based services, and security.
Itzik Klein
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GridiLoc: A Backtracking Grid Filter for Fusing the Grid Model with PDR Using Smartphone Sensors
Sensors, 2016 Although map filtering-aided Pedestrian Dead Reckoning (PDR) is capable of largely improving indoor localization accuracy, it becomes less efficient when coping with highly complex indoor spaces.
Jianga Shang +3 more
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Step Length Is a More Reliable Measurement Than Walking Speed for Pedestrian Dead-Reckoning. [PDF]
Int Conf Indoor Position Indoor Navig, 2023 Elyasi F, Manduchi R.
europepmc +1 more source
Step Characterization using Sensor Information Fusion and Machine Learning
International Journal of Interactive Multimedia and Artificial Intelligence, 2015 A pedestrian inertial navigation system is typically used to suppress the Global Navigation Satellite System limitation to track persons in indoor or in dense environments.
Ricardo Anacleto +4 more
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A Novel Step Length Estimator Based on Foot-Mounted MEMS Sensors
Sensors, 2018 Pedestrian Dead Reckoning (PDR)-based pedestrian navigation technology is an important part of indoor and outdoor seamless positioning services. To improve the performance of PDR, we have conducted research on a step length estimator.
Zhuangsheng Zhu, Shibo Wang
doaj +1 more source